micrisor / NAT-MLLinks
☆33Updated 4 years ago
Alternatives and similar repositories for NAT-ML
Users that are interested in NAT-ML are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 years ago
- Deep-Learning framework for multi-omic and survival data integration☆84Updated last year
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆42Updated 3 months ago
- ☆43Updated 9 months ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆30Updated 5 months ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆69Updated 10 months ago
- deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma…☆52Updated 5 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 4 years ago
- ☆46Updated 3 years ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆53Updated 2 weeks ago
- ☆141Updated 8 months ago
- Her2 Breast Cancer Project☆87Updated 2 years ago
- ☆49Updated 2 months ago
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- ☆55Updated 2 years ago
- A deep-learning framework for multi-omics integration☆27Updated 2 years ago
- ☆35Updated 2 months ago
- ☆31Updated 4 years ago
- ☆11Updated 5 years ago
- Multi-task deep learning framework for multi-omics data analysis☆48Updated 3 years ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆58Updated last year
- Deep learning on histopathology images.☆128Updated 4 years ago
- The Single-Cell Pathology Landscape of Breast Cancer☆27Updated 5 years ago
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆81Updated 10 months ago
- Sub-cellular spatial transcriptomics Cell Segmentation☆66Updated last year
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆57Updated last year
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆158Updated 3 years ago
- ☆21Updated 5 months ago
- Accessible and interoperable whole slide image analysis☆130Updated last week